Pandas Profiling Report

Dataset statistics

Number of variables	65
Number of observations	50289
Missing cells	2016787
Missing cells (%)	61.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	24.9 MiB
Average record size in memory	520.0 B

Variable types

Categorical	31
Unsupported	27
Numeric	7

Alerts

`Fuel Type Code` has constant value "ELEC"	Constant
`Country` has constant value "US"	Constant
`Station Name` has a high cardinality: 47830 distinct values	High cardinality
`Street Address` has a high cardinality: 34671 distinct values	High cardinality
`Intersection Directions` has a high cardinality: 2258 distinct values	High cardinality
`City` has a high cardinality: 5357 distinct values	High cardinality
`State` has a high cardinality: 53 distinct values	High cardinality
`ZIP` has a high cardinality: 9477 distinct values	High cardinality
`Station Phone` has a high cardinality: 8137 distinct values	High cardinality
`Expected Date` has a high cardinality: 67 distinct values	High cardinality
`Access Days Time` has a high cardinality: 1207 distinct values	High cardinality
`Updated At` has a high cardinality: 278 distinct values	High cardinality
`Open Date` has a high cardinality: 2833 distinct values	High cardinality
`Facility Type` has a high cardinality: 60 distinct values	High cardinality
`EV Pricing` has a high cardinality: 564 distinct values	High cardinality
`EV Level1 EVSE Num` is highly correlated with `EV Level2 EVSE Num` and 1 other fields	High correlation
`EV Level2 EVSE Num` is highly correlated with `EV Level1 EVSE Num`	High correlation
`EV DC Fast Count` is highly correlated with `EV Level1 EVSE Num`	High correlation
`EV Level1 EVSE Num` is highly correlated with `EV Level2 EVSE Num` and 1 other fields	High correlation
`EV Level2 EVSE Num` is highly correlated with `EV Level1 EVSE Num`	High correlation
`EV DC Fast Count` is highly correlated with `EV Level1 EVSE Num`	High correlation
`EV Level1 EVSE Num` is highly correlated with `EV Level2 EVSE Num` and 1 other fields	High correlation
`EV Level2 EVSE Num` is highly correlated with `EV Level1 EVSE Num`	High correlation
`EV DC Fast Count` is highly correlated with `EV Level1 EVSE Num`	High correlation
`State` is highly correlated with `Expected Date` and 12 other fields	High correlation
`Status Code` is highly correlated with `Expected Date` and 4 other fields	High correlation
`Expected Date` is highly correlated with `State` and 17 other fields	High correlation
`Groups With Access Code` is highly correlated with `Status Code` and 14 other fields	High correlation
`Cards Accepted` is highly correlated with `State` and 18 other fields	High correlation
`EV Level1 EVSE Num` is highly correlated with `Expected Date` and 1 other fields	High correlation
`EV Level2 EVSE Num` is highly correlated with `EV Level1 EVSE Num`	High correlation
`EV DC Fast Count` is highly correlated with `Expected Date` and 5 other fields	High correlation
`EV Other Info` is highly correlated with `State` and 7 other fields	High correlation
`EV Network` is highly correlated with `State` and 14 other fields	High correlation
`EV Network Web` is highly correlated with `State` and 15 other fields	High correlation
`Geocode Status` is highly correlated with `Cards Accepted` and 8 other fields	High correlation
`Latitude` is highly correlated with `State` and 4 other fields	High correlation
`Longitude` is highly correlated with `State` and 6 other fields	High correlation
`Date Last Confirmed` is highly correlated with `State` and 18 other fields	High correlation
`ID` is highly correlated with `Expected Date` and 12 other fields	High correlation
`Owner Type Code` is highly correlated with `Expected Date` and 10 other fields	High correlation
`Federal Agency ID` is highly correlated with `State` and 8 other fields	High correlation
`Federal Agency Name` is highly correlated with `State` and 10 other fields	High correlation
`EV Connector Types` is highly correlated with `Expected Date` and 16 other fields	High correlation
`Groups With Access Code (French)` is highly correlated with `Status Code` and 14 other fields	High correlation
`Access Code` is highly correlated with `Expected Date` and 10 other fields	High correlation
`Access Detail Code` is highly correlated with `Expected Date` and 12 other fields	High correlation
`Federal Agency Code` is highly correlated with `State` and 10 other fields	High correlation
`Facility Type` is highly correlated with `State` and 18 other fields	High correlation
`EV On-Site Renewable Source` is highly correlated with `State` and 9 other fields	High correlation
`Intersection Directions` has 47798 (95.0%) missing values	Missing
`Plus4` has 50289 (100.0%) missing values	Missing
`Station Phone` has 3078 (6.1%) missing values	Missing
`Expected Date` has 50142 (99.7%) missing values	Missing
`Access Days Time` has 2056 (4.1%) missing values	Missing
`Cards Accepted` has 48773 (97.0%) missing values	Missing
`BD Blends` has 50289 (100.0%) missing values	Missing
`NG Fill Type Code` has 50289 (100.0%) missing values	Missing
`NG PSI` has 50289 (100.0%) missing values	Missing
`EV Level1 EVSE Num` has 49288 (98.0%) missing values	Missing
`EV Level2 EVSE Num` has 5432 (10.8%) missing values	Missing
`EV DC Fast Count` has 44350 (88.2%) missing values	Missing
`EV Other Info` has 50255 (99.9%) missing values	Missing
`EV Network Web` has 8485 (16.9%) missing values	Missing
`Owner Type Code` has 33756 (67.1%) missing values	Missing
`Federal Agency ID` has 49235 (97.9%) missing values	Missing
`Federal Agency Name` has 49235 (97.9%) missing values	Missing
`Hydrogen Status Link` has 50289 (100.0%) missing values	Missing
`NG Vehicle Class` has 50289 (100.0%) missing values	Missing
`LPG Primary` has 50289 (100.0%) missing values	Missing
`E85 Blender Pump` has 50289 (100.0%) missing values	Missing
`Intersection Directions (French)` has 50289 (100.0%) missing values	Missing
`Access Days Time (French)` has 50289 (100.0%) missing values	Missing
`BD Blends (French)` has 50289 (100.0%) missing values	Missing
`Hydrogen Is Retail` has 50289 (100.0%) missing values	Missing
`Access Detail Code` has 46895 (93.3%) missing values	Missing
`Federal Agency Code` has 49235 (97.9%) missing values	Missing
`Facility Type` has 35474 (70.5%) missing values	Missing
`CNG Dispenser Num` has 50289 (100.0%) missing values	Missing
`CNG On-Site Renewable Source` has 50289 (100.0%) missing values	Missing
`CNG Total Compression Capacity` has 50289 (100.0%) missing values	Missing
`CNG Storage Capacity` has 50289 (100.0%) missing values	Missing
`LNG On-Site Renewable Source` has 50289 (100.0%) missing values	Missing
`E85 Other Ethanol Blends` has 50289 (100.0%) missing values	Missing
`EV Pricing` has 35416 (70.4%) missing values	Missing
`EV Pricing (French)` has 50289 (100.0%) missing values	Missing
`LPG Nozzle Types` has 50289 (100.0%) missing values	Missing
`Hydrogen Pressures` has 50289 (100.0%) missing values	Missing
`Hydrogen Standards` has 50289 (100.0%) missing values	Missing
`CNG Fill Type Code` has 50289 (100.0%) missing values	Missing
`CNG PSI` has 50289 (100.0%) missing values	Missing
`CNG Vehicle Class` has 50289 (100.0%) missing values	Missing
`LNG Vehicle Class` has 50289 (100.0%) missing values	Missing
`EV On-Site Renewable Source` has 49937 (99.3%) missing values	Missing
`Restricted Access` has 50289 (100.0%) missing values	Missing
`EV Level2 EVSE Num` is highly skewed (γ1 = 31.92539846)	Skewed
`Station Name` is uniformly distributed	Uniform
`Intersection Directions` is uniformly distributed	Uniform
`ID` has unique values	Unique
`Plus4` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`BD Blends` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`NG Fill Type Code` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`NG PSI` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Hydrogen Status Link` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`NG Vehicle Class` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`LPG Primary` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`E85 Blender Pump` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Intersection Directions (French)` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Access Days Time (French)` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`BD Blends (French)` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Hydrogen Is Retail` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CNG Dispenser Num` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CNG On-Site Renewable Source` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CNG Total Compression Capacity` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CNG Storage Capacity` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`LNG On-Site Renewable Source` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`E85 Other Ethanol Blends` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`EV Pricing (French)` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`LPG Nozzle Types` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Hydrogen Pressures` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Hydrogen Standards` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CNG Fill Type Code` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CNG PSI` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CNG Vehicle Class` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`LNG Vehicle Class` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Restricted Access` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-02-18 19:31:05.306779
Analysis finished	2022-02-18 19:31:24.111354
Duration	18.8 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Fuel Type Code
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

ELEC	50289

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ELEC
2nd row	ELEC
3rd row	ELEC
4th row	ELEC
5th row	ELEC

Common Values

Value	Count	Frequency (%)
ELEC	50289	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
elec	50289	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Station Name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	47830
Distinct (%)	95.1%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

Walmart	65
Whole Foods Market	64
Wawa - Tesla Supercharger	63
Target - Tesla Supercharger	53
Sheetz - Tesla Supercharger	51
Other values (47825)	49993

Length

Max length	116
Median length	23
Mean length	25.38185289
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46460 ?
Unique (%)	92.4%

Sample

1st row	LADWP - Truesdale Center
2nd row	LADWP - West LA District Office
3rd row	Los Angeles Convention Center
4th row	LADWP - John Ferraro Building
5th row	LADWP - Haynes Power Plant

Common Values

Value	Count	Frequency (%)
Walmart	65	0.1%
Whole Foods Market	64	0.1%
Wawa - Tesla Supercharger	63	0.1%
Target - Tesla Supercharger	53	0.1%
Sheetz - Tesla Supercharger	51	0.1%
Meijer - Tesla Supercharger	45	0.1%
Duke Energy	38	0.1%
ComEd	38	0.1%
Walgreens	37	0.1%
Dunkin' Donuts	23	< 0.1%
Other values (47820)	49812	99.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	12927	5.9%
tesla	5736	2.6%
1	5108	2.3%
station	4887	2.2%
destination	4462	2.0%
2	3525	1.6%
of	2464	1.1%
city	2235	1.0%
center	2061	0.9%
garage	1679	0.8%
Other values (24946)	173916	79.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Street Address
Categorical

HIGH CARDINALITY

Distinct	34671
Distinct (%)	69.0%
Missing	33
Missing (%)	0.1%
Memory size	393.0 KiB

1201 Pine St	81
2910 Tannery Way	79
Unnamed Road	61
806 S Airport Blvd	57
1 Facebook Way	57
Other values (34666)	49921

Length

Max length	63
Median length	17
Mean length	17.66292582
Min length	3

Characters and Unicode

Total characters	42
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27240 ?
Unique (%)	54.2%

Sample

1st row	11797 Truesdale St
2nd row	1394 S Sepulveda Blvd
3rd row	1201 S Figueroa St
4th row	111 N Hope St
5th row	6801 E 2nd St

Common Values

Value	Count	Frequency (%)
1201 Pine St	81	0.2%
2910 Tannery Way	79	0.2%
Unnamed Road	61	0.1%
806 S Airport Blvd	57	0.1%
1 Facebook Way	57	0.1%
150 W Tasman Dr	40	0.1%
1 Cyclotron Rd	37	0.1%
309 Constitution Dr	36	0.1%
San Francisco International Airport Domestic	35	0.1%
2595 Augustine Dr	34	0.1%
Other values (34661)	49739	98.9%
(Missing)	33	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
st	11240	6.1%
ave	7196	3.9%
rd	6909	3.8%
dr	5134	2.8%
blvd	4410	2.4%
n	3410	1.9%
w	3376	1.8%
s	3349	1.8%
e	3121	1.7%
way	1558	0.8%
Other values (18776)	134199	73.0%

Most occurring characters

Value	Count	Frequency (%)
	42	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	42	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	42	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	42	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	42	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	42	100.0%

Intersection Directions
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	2258
Distinct (%)	90.6%
Missing	47798
Missing (%)	95.0%
Memory size	393.0 KiB

Located in the parking lot	12
Roslyn St and E 53rd Place	10
Chargers are under repair.	8
Parking Lot	7
Located behind the building	7
Other values (2253)	2447

Length

Max length	507
Median length	40
Mean length	51.31272581
Min length	1

Characters and Unicode

Total characters	1257
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2109 ?
Unique (%)	84.7%

Sample

1st row	West hall and South hall
2nd row	Across Hope
3rd row	At 12th and N St
4th row	At B St
5th row	Patient Parking Structure, level G

Common Values

Value	Count	Frequency (%)
Located in the parking lot	12	< 0.1%
Roslyn St and E 53rd Place	10	< 0.1%
Chargers are under repair.	8	< 0.1%
Parking Lot	7	< 0.1%
Located behind the building	7	< 0.1%
Charger under repair.	6	< 0.1%
Attendant will assist in charging vehicle. Parking rates apply. Inquire within.	6	< 0.1%
.	6	< 0.1%
Located in parking lot	6	< 0.1%
Chargers under repair.	6	< 0.1%
Other values (2248)	2417	4.8%
(Missing)	47798	95.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1602	7.1%
located	982	4.4%
of	938	4.2%
parking	791	3.5%
on	584	2.6%
in	580	2.6%
and	524	2.3%
lot	439	1.9%
garage	326	1.4%
are	312	1.4%
Other values (2776)	15487	68.6%

Most occurring characters

Value	Count	Frequency (%)
	1257	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	1257	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	1257	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1257	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1257	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1257	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1257	100.0%

City
Categorical

HIGH CARDINALITY

Distinct	5357
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

Los Angeles	1400
San Diego	674
Atlanta	634
San Jose	572
Irvine	571
Other values (5352)	46438

Length

Max length	33
Median length	9
Mean length	9.017140925
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1910 ?
Unique (%)	3.8%

Sample

1st row	Sun Valley
2nd row	Los Angeles
3rd row	Los Angeles
4th row	Los Angeles
5th row	Long Beach

Common Values

Value	Count	Frequency (%)
Los Angeles	1400	2.8%
San Diego	674	1.3%
Atlanta	634	1.3%
San Jose	572	1.1%
Irvine	571	1.1%
Austin	520	1.0%
San Francisco	499	1.0%
Kansas City	452	0.9%
Seattle	404	0.8%
Boston	378	0.8%
Other values (5347)	44185	87.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
san	2578	3.8%
city	1795	2.6%
los	1477	2.2%
angeles	1413	2.1%
park	998	1.5%
beach	961	1.4%
santa	925	1.4%
diego	674	1.0%
francisco	646	0.9%
atlanta	634	0.9%
Other values (4502)	56014	82.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

State
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	53
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

CA	14651
NY	2977
FL	2665
TX	2319
MA	2198
Other values (48)	25479

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CA
2nd row	CA
3rd row	CA
4th row	CA
5th row	CA

Common Values

Value	Count	Frequency (%)
CA	14651	29.1%
NY	2977	5.9%
FL	2665	5.3%
TX	2319	4.6%
MA	2198	4.4%
WA	1775	3.5%
CO	1627	3.2%
GA	1588	3.2%
MD	1263	2.5%
PA	1166	2.3%
Other values (43)	18060	35.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	14651	29.1%
ny	2977	5.9%
fl	2665	5.3%
tx	2319	4.6%
ma	2198	4.4%
wa	1775	3.5%
co	1627	3.2%
ga	1588	3.2%
md	1263	2.5%
pa	1166	2.3%
Other values (43)	18060	35.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ZIP
Categorical

HIGH CARDINALITY

Distinct	9477
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

94025	372
95054	258
92618	223
94080	148
92802	137
Other values (9472)	49151

Length

Max length	6
Median length	5
Mean length	5.000278391
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3215 ?
Unique (%)	6.4%

Sample

1st row	91352
2nd row	90024
3rd row	90015
4th row	90012
5th row	90803

Common Values

Value	Count	Frequency (%)
94025	372	0.7%
95054	258	0.5%
92618	223	0.4%
94080	148	0.3%
92802	137	0.3%
94607	128	0.3%
94128	124	0.2%
92101	120	0.2%
90802	118	0.2%
95814	114	0.2%
Other values (9467)	48547	96.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
94025	372	0.7%
95054	258	0.5%
92618	223	0.4%
94080	148	0.3%
92802	137	0.3%
94607	128	0.3%
94128	124	0.2%
92101	120	0.2%
90802	118	0.2%
95814	114	0.2%
Other values (9454)	48548	96.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Plus4
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

Station Phone
Categorical

HIGH CARDINALITY
MISSING

Distinct	8137
Distinct (%)	17.2%
Missing	3078
Missing (%)	6.1%
Memory size	393.0 KiB

888-758-4389	27189
800-663-5633	1916
888-998-2546	1579
877-798-3752	1258
855-900-7584	1019
Other values (8132)	14250

Length

Max length	40
Median length	12
Mean length	13.37569634
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7016 ?
Unique (%)	14.9%

Sample

1st row	213-741-1151
2nd row	626-575-6800
3rd row	800-256-6219
4th row	951-351-3110
5th row	626-744-7665

Common Values

Value	Count	Frequency (%)
888-758-4389	27189	54.1%
800-663-5633	1916	3.8%
888-998-2546	1579	3.1%
877-798-3752	1258	2.5%
855-900-7584	1019	2.0%
877-455-3833	868	1.7%
888-264-2208	811	1.6%
833-632-2778	737	1.5%
877-798-3752 877-798-3752	659	1.3%
866-816-7584	645	1.3%
Other values (8127)	10530	20.9%
(Missing)	3078	6.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
888-758-4389	27192	52.4%
877-798-3752	6357	12.3%
800-663-5633	1916	3.7%
888-998-2546	1579	3.0%
855-900-7584	1035	2.0%
877-455-3833	868	1.7%
888-264-2208	861	1.7%
833-632-2778	737	1.4%
866-816-7584	679	1.3%
888-356-8911	262	0.5%
Other values (8063)	10407	20.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Status Code
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

E	50142
T	79
P	68

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	E
2nd row	E
3rd row	E
4th row	E
5th row	E

Common Values

Value	Count	Frequency (%)
E	50142	99.7%
T	79	0.2%
P	68	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
e	50142	99.7%
t	79	0.2%
p	68	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Expected Date
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	67
Distinct (%)	45.6%
Missing	50142
Missing (%)	99.7%
Memory size	393.0 KiB

2022-11-01	12
2022-03-01	9
2022-03-15	8
2022-11-24	7
2021-07-31	6
Other values (62)	105

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44 ?
Unique (%)	29.9%

Sample

1st row	2021-09-01
2nd row	2022-01-13
3rd row	2021-12-15
4th row	2022-03-31
5th row	2022-01-01

Common Values

Value	Count	Frequency (%)
2022-11-01	12	< 0.1%
2022-03-01	9	< 0.1%
2022-03-15	8	< 0.1%
2022-11-24	7	< 0.1%
2021-07-31	6	< 0.1%
2021-06-30	6	< 0.1%
2022-01-01	5	< 0.1%
2021-01-31	5	< 0.1%
2021-11-01	5	< 0.1%
2021-08-31	5	< 0.1%
Other values (57)	79	0.2%
(Missing)	50142	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2022-11-01	12	8.2%
2022-03-01	9	6.1%
2022-03-15	8	5.4%
2022-11-24	7	4.8%
2021-07-31	6	4.1%
2021-06-30	6	4.1%
2021-11-01	5	3.4%
2022-03-31	5	3.4%
2021-08-31	5	3.4%
2021-01-31	5	3.4%
Other values (57)	79	53.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Groups With Access Code
Categorical

HIGH CORRELATION

Distinct	22
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

Public	43929
Private	2844
Public - Call ahead	1608
Public - Credit card at all times	1003
Private - Government only	709
Other values (17)	196

Length

Max length	64
Median length	6
Mean length	7.39720416
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	Private
2nd row	Private
3rd row	Public
4th row	Private
5th row	Private

Common Values

Value	Count	Frequency (%)
Public	43929	87.4%
Private	2844	5.7%
Public - Call ahead	1608	3.2%
Public - Credit card at all times	1003	2.0%
Private - Government only	709	1.4%
TEMPORARILY UNAVAILABLE (Public)	56	0.1%
PLANNED - not yet accessible (Public)	52	0.1%
Private - Credit card at all times	24	< 0.1%
PLANNED - not yet accessible (Public - Credit card at all times)	13	< 0.1%
Public - Card key at all times	12	< 0.1%
Other values (12)	39	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
public	46686	72.8%
private	3603	5.6%
	3462	5.4%
call	1619	2.5%
ahead	1619	2.5%
card	1057	1.6%
at	1054	1.6%
all	1054	1.6%
times	1054	1.6%
credit	1044	1.6%
Other values (14)	1891	2.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Access Days Time
Categorical

HIGH CARDINALITY
MISSING

Distinct	1207
Distinct (%)	2.5%
Missing	2056
Missing (%)	4.1%
Memory size	393.0 KiB

24 hours daily	33188
24 hours daily; for customer use only; see front desk for access	2173
MON: 24 hours \| TUE: 24 hours \| WED: 24 hours \| THU: 24 hours \| FRI: 24 hours \| SAT: 24 hours \| SUN: 24 hours	1550
MO: Not Specified; TU: Not Specified; WE: Not Specified; TH: Not Specified; FR: Not Specified; SA: Not Specified; SU: Not Specified	1475
Dealership business hours	1171
Other values (1202)	8676

Length

Max length	270
Median length	14
Mean length	29.9242842
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	842 ?
Unique (%)	1.7%

Sample

1st row	Fleet use only
2nd row	24 hours daily; pay lot
3rd row	For fleet and employee use only
4th row	Fleet use only
5th row	Permitted state legislators only

Common Values

Value	Count	Frequency (%)
24 hours daily	33188	66.0%
24 hours daily; for customer use only; see front desk for access	2173	4.3%
MON: 24 hours \| TUE: 24 hours \| WED: 24 hours \| THU: 24 hours \| FRI: 24 hours \| SAT: 24 hours \| SUN: 24 hours	1550	3.1%
MO: Not Specified; TU: Not Specified; WE: Not Specified; TH: Not Specified; FR: Not Specified; SA: Not Specified; SU: Not Specified	1475	2.9%
Dealership business hours	1171	2.3%
24 hours daily; for Tesla use only	1157	2.3%
24 hours daily; for customer use only	961	1.9%
6am-12am daily	602	1.2%
24 hours daily; for customer use only; see valet for access	420	0.8%
MO: 12:00am-12:00am; TU: 12:00am-12:00am; WE: 12:00am-12:00am; TH: 12:00am-12:00am; FR: 12:00am-12:00am; SA: 12:00am-12:00am; SU: 12:00am-12:00am	340	0.7%
Other values (1197)	5196	10.3%
(Missing)	2056	4.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
hours	52216	18.7%
24	50461	18.1%
daily	40707	14.6%
	15950	5.7%
not	10346	3.7%
specified	10343	3.7%
for	8644	3.1%
only	6389	2.3%
use	6333	2.3%
customer	3718	1.3%
Other values (900)	73433	26.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Cards Accepted
Categorical

HIGH CORRELATION
MISSING

Distinct	45
Distinct (%)	3.0%
Missing	48773
Missing (%)	97.0%
Memory size	393.0 KiB

A D Debit M V	739
A D M V	467
Proprietor	64
A APPLE_PAY D M V	41
Checks	33
Other values (40)	172

Length

Max length	63
Median length	13
Mean length	11.03627968
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	1.2%

Sample

1st row	Comdata
2nd row	M V
3rd row	A D M V
4th row	A Cash D M V
5th row	Cash

Common Values

Value	Count	Frequency (%)
A D Debit M V	739	1.5%
A D M V	467	0.9%
Proprietor	64	0.1%
A APPLE_PAY D M V	41	0.1%
Checks	33	0.1%
A Cash Checks D M V	21	< 0.1%
D Debit M V	16	< 0.1%
M V	13	< 0.1%
CFN	10	< 0.1%
Proprietor Wright_Exp	10	< 0.1%
Other values (35)	102	0.2%
(Missing)	48773	97.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
m	1368	21.0%
v	1363	20.9%
d	1332	20.5%
a	1326	20.4%
debit	800	12.3%
proprietor	75	1.2%
cash	69	1.1%
checks	67	1.0%
apple_pay	43	0.7%
credit	21	0.3%
Other values (9)	48	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BD Blends
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

NG Fill Type Code
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

NG PSI
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

EV Level1 EVSE Num
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	3.8%
Missing	49288
Missing (%)	98.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.372627373

Minimum	1
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	393.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	12
Maximum	90
Range	89
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	7.279148988
Coefficient of variation (CV)	2.158302173
Kurtosis	45.03166558
Mean	3.372627373
Median Absolute Deviation (MAD)	0
Skewness	5.976370363
Sum	3376
Variance	52.98600999
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
1	585	1.2%
2	196	0.4%
4	61	0.1%
3	33	0.1%
10	18	< 0.1%
6	15	< 0.1%
5	14	< 0.1%
12	12	< 0.1%
8	10	< 0.1%
7	6	< 0.1%
Other values (28)	51	0.1%
(Missing)	49288	98.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	585	1.2%
2	196	0.4%
3	33	0.1%
4	61	0.1%
5	14	< 0.1%
6	15	< 0.1%
7	6	< 0.1%
8	10	< 0.1%
9	2	< 0.1%
10	18	< 0.1%

Value	Count	Frequency (%)
90	1	< 0.1%
71	1	< 0.1%
60	1	< 0.1%
54	2	< 0.1%
51	1	< 0.1%
49	2	< 0.1%
47	1	< 0.1%
42	2	< 0.1%
40	1	< 0.1%
39	1	< 0.1%

EV Level2 EVSE Num
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	62
Distinct (%)	0.1%
Missing	5432
Missing (%)	10.8%
Infinite	0
Infinite (%)	0.0%
Mean	2.311835388

Minimum	1
Maximum	311
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	393.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	4
Maximum	311
Range	310
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.262845021
Coefficient of variation (CV)	1.411365635
Kurtosis	2153.600517
Mean	2.311835388
Median Absolute Deviation (MAD)	0
Skewness	31.92539846
Sum	103702
Variance	10.64615763
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	28644	57.0%
1	10051	20.0%
4	2226	4.4%
3	1813	3.6%
6	650	1.3%
5	302	0.6%
8	298	0.6%
10	239	0.5%
12	98	0.2%
7	87	0.2%
Other values (52)	449	0.9%
(Missing)	5432	10.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	10051	20.0%
2	28644	57.0%
3	1813	3.6%
4	2226	4.4%
5	302	0.6%
6	650	1.3%
7	87	0.2%
8	298	0.6%
9	78	0.2%
10	239	0.5%

Value	Count	Frequency (%)
311	1	< 0.1%
156	1	< 0.1%
128	1	< 0.1%
123	1	< 0.1%
108	1	< 0.1%
106	1	< 0.1%
100	2	< 0.1%
91	1	< 0.1%
81	1	< 0.1%
73	1	< 0.1%

EV DC Fast Count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	0.5%
Missing	44350
Missing (%)	88.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.736150867

Minimum	1
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	393.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	4
95-th percentile	12
Maximum	56
Range	55
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	4.320549962
Coefficient of variation (CV)	1.156417424
Kurtosis	14.67916229
Mean	3.736150867
Median Absolute Deviation (MAD)	1
Skewness	2.814443221
Sum	22189
Variance	18.66715197
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	2846	5.7%
2	767	1.5%
8	714	1.4%
4	678	1.3%
6	214	0.4%
12	186	0.4%
3	170	0.3%
10	136	0.3%
16	70	0.1%
20	44	0.1%
Other values (21)	114	0.2%
(Missing)	44350	88.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2846	5.7%
2	767	1.5%
3	170	0.3%
4	678	1.3%
5	15	< 0.1%
6	214	0.4%
7	8	< 0.1%
8	714	1.4%
9	3	< 0.1%
10	136	0.3%

Value	Count	Frequency (%)
56	2	< 0.1%
40	3	< 0.1%
36	1	< 0.1%
35	1	< 0.1%
34	1	< 0.1%
32	1	< 0.1%
30	1	< 0.1%
28	3	< 0.1%
26	2	< 0.1%
25	1	< 0.1%

EV Other Info
Categorical

HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	38.2%
Missing	50255
Missing (%)	99.9%
Memory size	393.0 KiB

1 SP Inductive	19
1 LP Inductive	4
1 LP Inductive 1 SP Inductive 1 Avcon Conductive 1 Other Conductive	1
2 Conductive 240V	1
3 SP Inductive	1
Other values (8)	8

Length

Max length	70
Median length	14
Mean length	18.55882353
Min length	14

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	32.4%

Sample

1st row	1 LP Inductive 1 SP Inductive 1 Avcon Conductive 1 Other Conductive
2nd row	1 LP Inductive
3rd row	1 SP Inductive
4th row	1 SP Inductive
5th row	1 SP Inductive

Common Values

Value	Count	Frequency (%)
1 SP Inductive	19	< 0.1%
1 LP Inductive	4	< 0.1%
1 LP Inductive 1 SP Inductive 1 Avcon Conductive 1 Other Conductive	1	< 0.1%
2 Conductive 240V	1	< 0.1%
3 SP Inductive	1	< 0.1%
1 SP Inductive 1 Tesla Conductive	1	< 0.1%
2 SP Inductive 1 Avcon Conductive 1 Tesla Conductive	1	< 0.1%
2 SP Inductive	1	< 0.1%
2 Tesla Conductive	1	< 0.1%
1 Tesla Conductive	1	< 0.1%
Other values (3)	3	< 0.1%
(Missing)	50255	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	34	27.6%
inductive	29	23.6%
sp	24	19.5%
conductive	12	9.8%
lp	5	4.1%
2	5	4.1%
tesla	4	3.3%
120v	3	2.4%
avcon	2	1.6%
240v	2	1.6%
Other values (3)	3	2.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

EV Network
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	< 0.1%
Missing	5
Missing (%)	< 0.1%
Memory size	393.0 KiB

ChargePoint Network	27285
Non-Networked	8480
Tesla Destination	4437
SemaCharge Network	1932
Blink Network	1576
Other values (19)	6574

Length

Max length	19
Median length	19
Mean length	16.23715297
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Non-Networked
2nd row	Non-Networked
3rd row	Non-Networked
4th row	Non-Networked
5th row	Non-Networked

Common Values

Value	Count	Frequency (%)
ChargePoint Network	27285	54.3%
Non-Networked	8480	16.9%
Tesla Destination	4437	8.8%
SemaCharge Network	1932	3.8%
Blink Network	1576	3.1%
Tesla	1249	2.5%
Greenlots	1036	2.1%
Volta	929	1.8%
EV Connect	896	1.8%
eVgo Network	883	1.8%
Other values (14)	1581	3.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
network	31676	36.0%
chargepoint	27285	31.0%
non-networked	8480	9.6%
tesla	5686	6.5%
destination	4437	5.0%
semacharge	1932	2.2%
blink	1576	1.8%
greenlots	1036	1.2%
volta	929	1.1%
ev	896	1.0%
Other values (17)	4099	4.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

EV Network Web
Categorical

HIGH CORRELATION
MISSING

Distinct	23
Distinct (%)	0.1%
Missing	8485
Missing (%)	16.9%
Memory size	393.0 KiB

http://www.chargepoint.com/	27285
https://www.tesla.com/destination-charging	4437
https://semaconnect.com/	1932
http://www.blinkcharging.com/	1576
https://www.tesla.com/supercharger	1249
Other values (18)	5325

Length

Max length	48
Median length	27
Mean length	28.3236054
Min length	15

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	https://voltacharging.com/
2nd row	https://voltacharging.com/
3rd row	http://evconnect.com/
4th row	http://evconnect.com/
5th row	http://evconnect.com/

Common Values

Value	Count	Frequency (%)
http://www.chargepoint.com/	27285	54.3%
https://www.tesla.com/destination-charging	4437	8.8%
https://semaconnect.com/	1932	3.8%
http://www.blinkcharging.com/	1576	3.1%
https://www.tesla.com/supercharger	1249	2.5%
http://greenlots.com/	1036	2.1%
https://voltacharging.com/	929	1.8%
http://evconnect.com/	896	1.8%
https://www.evgo.com/	883	1.8%
https://www.electrifyamerica.com/	738	1.5%
Other values (13)	843	1.7%
(Missing)	8485	16.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
http://www.chargepoint.com	27285	65.3%
https://www.tesla.com/destination-charging	4437	10.6%
https://semaconnect.com	1932	4.6%
http://www.blinkcharging.com	1576	3.8%
https://www.tesla.com/supercharger	1249	3.0%
http://greenlots.com	1036	2.5%
https://voltacharging.com	929	2.2%
http://evconnect.com	896	2.1%
https://www.evgo.com	883	2.1%
https://www.electrifyamerica.com	738	1.8%
Other values (13)	843	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Geocode Status
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

GPS	40692
200-9	7101
200-8	2472
200-6	23
200-5	1

Length

Max length	5
Median length	3
Mean length	3.381673925
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	GPS
2nd row	200-8
3rd row	GPS
4th row	GPS
5th row	GPS

Common Values

Value	Count	Frequency (%)
GPS	40692	80.9%
200-9	7101	14.1%
200-8	2472	4.9%
200-6	23	< 0.1%
200-5	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gps	40692	80.9%
200-9	7101	14.1%
200-8	2472	4.9%
200-6	23	< 0.1%
200-5	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Latitude
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	47867
Distinct (%)	95.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.66494856

Minimum	18.334138
Maximum	64.852466
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	393.0 KiB

Quantile statistics

Minimum	18.334138
5-th percentile	28.5841796
Q1	34.024105
median	37.934644
Q3	41.12267
95-th percentile	45.46920744
Maximum	64.852466
Range	46.518328
Interquartile range (IQR)	7.098565

Descriptive statistics

Standard deviation	5.01232674
Coefficient of variation (CV)	0.1330766915
Kurtosis	0.616445806
Mean	37.66494856
Median Absolute Deviation (MAD)	3.8211531
Skewness	-0.299306678
Sum	1894132.598
Variance	25.12341935
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.875902	28	0.1%
46.347582	19	< 0.1%
37.6161599	12	< 0.1%
41.32	11	< 0.1%
35.9311	10	< 0.1%
46.351004	10	< 0.1%
37.419875	10	< 0.1%
47.658	9	< 0.1%
39.7959446	8	< 0.1%
37.875985	8	< 0.1%
Other values (47857)	50164	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18.334138	1	< 0.1%
18.365585	1	< 0.1%
18.369873	1	< 0.1%
18.375312	1	< 0.1%
18.412531	1	< 0.1%
18.42107	1	< 0.1%
18.423135	1	< 0.1%
19.062777	1	< 0.1%
19.502075	2	< 0.1%
19.502518	1	< 0.1%

Value	Count	Frequency (%)
64.852466	1	< 0.1%
64.2008413	1	< 0.1%
63.86892416	1	< 0.1%
63.447419	1	< 0.1%
63.44725602	1	< 0.1%
62.323961	1	< 0.1%
62.3213	1	< 0.1%
61.601874	1	< 0.1%
61.599415	1	< 0.1%
61.58028754	1	< 0.1%

Longitude
Real number (ℝ)

HIGH CORRELATION

Distinct	48079
Distinct (%)	95.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-98.4699633

Minimum	-159.788556
Maximum	0
Zeros	1
Zeros (%)	< 0.1%
Negative	50288
Negative (%)	> 99.9%
Memory size	393.0 KiB

Quantile statistics

Minimum	-159.788556
5-th percentile	-122.416436
Q1	-118.333956
median	-95.318592
Q3	-80.14123
95-th percentile	-71.761801
Maximum	0
Range	159.788556
Interquartile range (IQR)	38.192726

Descriptive statistics

Standard deviation	19.78163807
Coefficient of variation (CV)	-0.2008900725
Kurtosis	-1.177389952
Mean	-98.4699633
Median Absolute Deviation (MAD)	20.016438
Skewness	-0.1878016374
Sum	-4951955.984
Variance	391.3132046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-122.250055	28	0.1%
-119.277892	19	< 0.1%
-122.3968687	12	< 0.1%
-72.07	11	< 0.1%
-84.309978	10	< 0.1%
-122.206042	10	< 0.1%
-122.712	9	< 0.1%
-104.9012885	8	< 0.1%
-122.250014	8	< 0.1%
-117.320512	7	< 0.1%
Other values (48069)	50167	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-159.788556	1	< 0.1%
-159.585878	1	< 0.1%
-159.585407	1	< 0.1%
-159.485143	1	< 0.1%
-159.476393	1	< 0.1%
-159.46942	1	< 0.1%
-159.46862	1	< 0.1%
-159.456719	1	< 0.1%
-159.44208	1	< 0.1%
-159.43897	1	< 0.1%

Value	Count	Frequency (%)
0	1	< 0.1%
-65.819748	1	< 0.1%
-65.973635	1	< 0.1%
-66.066365	1	< 0.1%
-66.097746	1	< 0.1%
-66.108244	1	< 0.1%
-66.112209	1	< 0.1%
-66.128543	1	< 0.1%
-66.98314	1	< 0.1%
-66.985371	1	< 0.1%

Date Last Confirmed
Categorical

HIGH CORRELATION

Distinct	39
Distinct (%)	0.1%
Missing	17
Missing (%)	< 0.1%
Memory size	393.0 KiB

2022-01-14	32180
2020-11-03	4428
2020-06-09	1785
2022-01-13	1576
2021-10-11	1155
Other values (34)	9148

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	2021-07-14
2nd row	2021-07-14
3rd row	2020-11-09
4th row	2021-07-14
5th row	2021-07-14

Common Values

Value	Count	Frequency (%)
2022-01-14	32180	64.0%
2020-11-03	4428	8.8%
2020-06-09	1785	3.5%
2022-01-13	1576	3.1%
2021-10-11	1155	2.3%
2021-04-08	945	1.9%
2021-02-22	868	1.7%
2021-10-12	799	1.6%
2022-01-10	669	1.3%
2021-01-14	604	1.2%
Other values (29)	5263	10.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2022-01-14	32180	64.0%
2020-11-03	4428	8.8%
2020-06-09	1785	3.6%
2022-01-13	1576	3.1%
2021-10-11	1155	2.3%
2021-04-08	945	1.9%
2021-02-22	868	1.7%
2021-10-12	799	1.6%
2022-01-10	669	1.3%
2021-01-14	604	1.2%
Other values (29)	5263	10.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ID
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	50289
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	150156.1131

Minimum	1517
Maximum	204787
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	393.0 KiB

Quantile statistics

Minimum	1517
5-th percentile	50465.2
Q1	115972
median	166590
Q3	182556
95-th percentile	199239.6
Maximum	204787
Range	203270
Interquartile range (IQR)	66584

Descriptive statistics

Standard deviation	44819.87924
Coefficient of variation (CV)	0.2984885417
Kurtosis	-0.09177103594
Mean	150156.1131
Median Absolute Deviation (MAD)	20640
Skewness	-0.9938575048
Sum	7551200774
Variance	2008821575
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1517	1	< 0.1%
177610	1	< 0.1%
177612	1	< 0.1%
177613	1	< 0.1%
177614	1	< 0.1%
177615	1	< 0.1%
177616	1	< 0.1%
177617	1	< 0.1%
177618	1	< 0.1%
177619	1	< 0.1%
Other values (50279)	50279	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1517	1	< 0.1%
1519	1	< 0.1%
1523	1	< 0.1%
1525	1	< 0.1%
1531	1	< 0.1%
1533	1	< 0.1%
1552	1	< 0.1%
1556	1	< 0.1%
1572	1	< 0.1%
1573	1	< 0.1%

Value	Count	Frequency (%)
204787	1	< 0.1%
204786	1	< 0.1%
204785	1	< 0.1%
204784	1	< 0.1%
204783	1	< 0.1%
204782	1	< 0.1%
204781	1	< 0.1%
204780	1	< 0.1%
204779	1	< 0.1%
204778	1	< 0.1%

Updated At
Categorical

HIGH CARDINALITY

Distinct	278
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

2022-01-14 00:29:34 UTC	27172
2021-03-11 23:22:17 UTC	8915
2022-01-14 00:21:13 UTC	1912
2022-01-13 22:55:13 UTC	1576
2021-11-04 18:37:47 UTC	1153
Other values (273)	9561

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	232 ?
Unique (%)	0.5%

Sample

1st row	2021-07-14 18:51:43 UTC
2nd row	2021-07-14 18:51:43 UTC
3rd row	2021-03-11 23:22:17 UTC
4th row	2021-07-14 18:51:43 UTC
5th row	2021-07-14 18:51:43 UTC

Common Values

Value	Count	Frequency (%)
2022-01-14 00:29:34 UTC	27172	54.0%
2021-03-11 23:22:17 UTC	8915	17.7%
2022-01-14 00:21:13 UTC	1912	3.8%
2022-01-13 22:55:13 UTC	1576	3.1%
2021-11-04 18:37:47 UTC	1153	2.3%
2021-08-04 00:01:52 UTC	1074	2.1%
2022-01-14 01:20:00 UTC	1018	2.0%
2022-01-14 01:17:49 UTC	868	1.7%
2021-04-08 20:32:57 UTC	804	1.6%
2022-01-14 01:22:29 UTC	736	1.5%
Other values (268)	5061	10.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
utc	50289	33.3%
2022-01-14	32180	21.3%
00:29:34	27172	18.0%
2021-03-11	8915	5.9%
23:22:17	8915	5.9%
00:21:13	1912	1.3%
2022-01-13	1578	1.0%
22:55:13	1576	1.0%
2021-11-04	1559	1.0%
2021-08-04	1184	0.8%
Other values (335)	15587	10.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Owner Type Code
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	33756
Missing (%)	67.1%
Memory size	393.0 KiB

P	13421
LG	1243
FG	1054
T	515
SG	296

Length

Max length	2
Median length	1
Mean length	1.156837839
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LG
2nd row	LG
3rd row	P
4th row	LG
5th row	LG

Common Values

Value	Count	Frequency (%)
P	13421	26.7%
LG	1243	2.5%
FG	1054	2.1%
T	515	1.0%
SG	296	0.6%
J	4	< 0.1%
(Missing)	33756	67.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
p	13421	81.2%
lg	1243	7.5%
fg	1054	6.4%
t	515	3.1%
sg	296	1.8%
j	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Federal Agency ID
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	25
Distinct (%)	2.4%
Missing	49235
Missing (%)	97.9%
Infinite	0
Infinite (%)	0.0%
Mean	13.43263757

Minimum	2
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	393.0 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	8
median	14
Q3	16
95-th percentile	25
Maximum	29
Range	27
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.623238757
Coefficient of variation (CV)	0.4186250636
Kurtosis	-0.07760730957
Mean	13.43263757
Median Absolute Deviation (MAD)	3
Skewness	0.2115496204
Sum	14158
Variance	31.62081412
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
14	221	0.4%
16	159	0.3%
8	156	0.3%
12	94	0.2%
19	56	0.1%
13	45	0.1%
26	42	0.1%
17	37	0.1%
6	33	0.1%
2	24	< 0.1%
Other values (15)	187	0.4%
(Missing)	49235	97.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	24	< 0.1%
3	21	< 0.1%
4	21	< 0.1%
5	18	< 0.1%
6	33	0.1%
7	9	< 0.1%
8	156	0.3%
9	13	< 0.1%
10	19	< 0.1%
12	94	0.2%

Value	Count	Frequency (%)
29	2	< 0.1%
26	42	0.1%
25	20	< 0.1%
24	6	< 0.1%
23	5	< 0.1%
22	24	< 0.1%
21	5	< 0.1%
20	21	< 0.1%
19	56	0.1%
18	2	< 0.1%

Federal Agency Name
Categorical

HIGH CORRELATION
MISSING

Distinct	25
Distinct (%)	2.4%
Missing	49235
Missing (%)	97.9%
Memory size	393.0 KiB

Department of Navy	221
Department of the Interior	159
U.S. Department of Energy	156
Department of Justice	94
Department of Veterans Affairs	56
Other values (20)	368

Length

Max length	45
Median length	25
Mean length	24.13851992
Min length	16

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Smithsonian Institution
2nd row	Department of Veterans Affairs
3rd row	Department of the Interior
4th row	National Aeronautics and Space Administration
5th row	Department of the Interior

Common Values

Value	Count	Frequency (%)
Department of Navy	221	0.4%
Department of the Interior	159	0.3%
U.S. Department of Energy	156	0.3%
Department of Justice	94	0.2%
Department of Veterans Affairs	56	0.1%
Department of Labor	45	0.1%
United States Marine Corps	42	0.1%
Department of Transportation	37	0.1%
Department of Army	33	0.1%
Corps of Engineers, Civil Works	24	< 0.1%
Other values (15)	187	0.4%
(Missing)	49235	97.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	910	24.2%
department	886	23.5%
navy	221	5.9%
u.s	220	5.8%
the	159	4.2%
interior	159	4.2%
energy	156	4.1%
justice	94	2.5%
corps	66	1.8%
veterans	56	1.5%
Other values (37)	838	22.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Open Date
Categorical

HIGH CARDINALITY

Distinct	2833
Distinct (%)	5.6%
Missing	72
Missing (%)	0.1%
Memory size	393.0 KiB

2021-01-27	10413
2020-06-12	3434
2018-11-01	905
2021-10-25	843
2012-01-31	714
Other values (2828)	33908

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	647 ?
Unique (%)	1.3%

Sample

1st row	1999-10-15
2nd row	2020-02-28
3rd row	1995-08-30
4th row	1999-10-15
5th row	2018-05-01

Common Values

Value	Count	Frequency (%)
2021-01-27	10413	20.7%
2020-06-12	3434	6.8%
2018-11-01	905	1.8%
2021-10-25	843	1.7%
2012-01-31	714	1.4%
2020-11-03	677	1.3%
2021-01-15	654	1.3%
2017-09-01	534	1.1%
2011-03-15	470	0.9%
2019-08-15	335	0.7%
Other values (2823)	31238	62.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-01-27	10413	20.7%
2020-06-12	3434	6.8%
2018-11-01	905	1.8%
2021-10-25	843	1.7%
2012-01-31	714	1.4%
2020-11-03	677	1.3%
2021-01-15	654	1.3%
2017-09-01	534	1.1%
2011-03-15	470	0.9%
2019-08-15	335	0.7%
Other values (2823)	31238	62.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Hydrogen Status Link
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

NG Vehicle Class
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

LPG Primary
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

E85 Blender Pump
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

EV Connector Types
Categorical

HIGH CORRELATION

Distinct	30
Distinct (%)	0.1%
Missing	17
Missing (%)	< 0.1%
Memory size	393.0 KiB

J1772	38784
TESLA	3326
CHADEMO J1772COMBO	3004
J1772 TESLA	2527
CHADEMO J1772 J1772COMBO	641
Other values (25)	1990

Length

Max length	32
Median length	5
Mean length	6.53747613
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	< 0.1%

Sample

1st row	CHADEMO J1772 J1772COMBO
2nd row	J1772
3rd row	J1772
4th row	CHADEMO J1772 J1772COMBO
5th row	CHADEMO J1772 J1772COMBO

Common Values

Value	Count	Frequency (%)
J1772	38784	77.1%
TESLA	3326	6.6%
CHADEMO J1772COMBO	3004	6.0%
J1772 TESLA	2527	5.0%
CHADEMO J1772 J1772COMBO	641	1.3%
CHADEMO J1772	409	0.8%
J1772COMBO	390	0.8%
NEMA520	242	0.5%
NEMA515	218	0.4%
J1772 NEMA515	213	0.4%
Other values (20)	518	1.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
j1772	42792	73.8%
tesla	5864	10.1%
chademo	4207	7.3%
j1772combo	4132	7.1%
nema515	435	0.8%
nema520	352	0.6%
nema1450	176	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Country
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

US	50289

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	US
2nd row	US
3rd row	US
4th row	US
5th row	US

Common Values

Value	Count	Frequency (%)
US	50289	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
us	50289	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Intersection Directions (French)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

Access Days Time (French)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

BD Blends (French)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

Groups With Access Code (French)
Categorical

HIGH CORRELATION

Distinct	22
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

Public	43929
Privé	2844
Public - Appeler à l'avance	1608
Public - Carte de crédit en tout temps	1003
Privé - Réservé au gouvernement	709
Other values (17)	196

Length

Max length	70
Median length	6
Mean length	7.732386804
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	Privé
2nd row	Privé
3rd row	Public
4th row	Privé
5th row	Privé

Common Values

Value	Count	Frequency (%)
Public	43929	87.4%
Privé	2844	5.7%
Public - Appeler à l'avance	1608	3.2%
Public - Carte de crédit en tout temps	1003	2.0%
Privé - Réservé au gouvernement	709	1.4%
TEMPORAIREMENT SUSPENDU (Public)	56	0.1%
PRÉVU - pas encore accessible (Public)	52	0.1%
Privé - Carte de crédit en tout temps	24	< 0.1%
PRÉVU - pas encore accessible (Public - Carte de crédit en tout temps)	13	< 0.1%
Public - Carte-clé en tout temps	12	< 0.1%
Other values (12)	39	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
public	46686	69.1%
privé	3603	5.3%
	3462	5.1%
appeler	1619	2.4%
à	1619	2.4%
l'avance	1619	2.4%
en	1054	1.6%
tout	1054	1.6%
temps	1054	1.6%
de	1051	1.6%
Other values (21)	4703	7.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Hydrogen Is Retail
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

Access Code
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	393.0 KiB

public	46686
private	3603

Length

Max length	7
Median length	6
Mean length	6.071645887
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	private
2nd row	private
3rd row	public
4th row	private
5th row	private

Common Values

Value	Count	Frequency (%)
public	46686	92.8%
private	3603	7.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
public	46686	92.8%
private	3603	7.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Access Detail Code
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	0.2%
Missing	46895
Missing (%)	93.3%
Memory size	393.0 KiB

CALL	1619
CREDIT_CARD_ALWAYS	1042
GOVERNMENT	710
KEY_ALWAYS	12
FLEET	7
Other values (3)	4

Length

Max length	23
Median length	10
Mean length	9.59310548
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	GOVERNMENT
2nd row	GOVERNMENT
3rd row	CALL
4th row	CALL
5th row	GOVERNMENT

Common Values

Value	Count	Frequency (%)
CALL	1619	3.2%
CREDIT_CARD_ALWAYS	1042	2.1%
GOVERNMENT	710	1.4%
KEY_ALWAYS	12	< 0.1%
FLEET	7	< 0.1%
CREDIT_CARD_AFTER_HOURS	2	< 0.1%
KEY_AFTER_HOURS	1	< 0.1%
RESIDENTIAL	1	< 0.1%
(Missing)	46895	93.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
call	1619	47.7%
credit_card_always	1042	30.7%
government	710	20.9%
key_always	12	0.4%
fleet	7	0.2%
credit_card_after_hours	2	0.1%
key_after_hours	1	< 0.1%
residential	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Federal Agency Code
Categorical

HIGH CORRELATION
MISSING

Distinct	25
Distinct (%)	2.4%
Missing	49235
Missing (%)	97.9%
Memory size	393.0 KiB

DON	221
DOI	159
DOE	156
DOJ	94
VA	56
Other values (20)	368

Length

Max length	8
Median length	3
Mean length	3.126185958
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	SI
2nd row	VA
3rd row	DOI
4th row	NASA
5th row	DOI

Common Values

Value	Count	Frequency (%)
DON	221	0.4%
DOI	159	0.3%
DOE	156	0.3%
DOJ	94	0.2%
VA	56	0.1%
DOL	45	0.1%
USMC	42	0.1%
DOT	37	0.1%
DA	33	0.1%
USACE_CW	24	< 0.1%
Other values (15)	187	0.4%
(Missing)	49235	97.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
don	221	21.0%
doi	159	15.1%
doe	156	14.8%
doj	94	8.9%
va	56	5.3%
dol	45	4.3%
usmc	42	4.0%
dot	37	3.5%
da	33	3.1%
usace_cw	24	2.3%
Other values (15)	187	17.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Facility Type
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	60
Distinct (%)	0.4%
Missing	35474
Missing (%)	70.5%
Memory size	393.0 KiB

HOTEL	2559
CAR_DEALER	2375
OFFICE_BLDG	884
FED_GOV	870
SHOPPING_CENTER	824
Other values (55)	7303

Length

Max length	25
Median length	10
Mean length	9.595342558
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	UTILITY
2nd row	UTILITY
3rd row	PARKING_GARAGE
4th row	UTILITY
5th row	UTILITY

Common Values

Value	Count	Frequency (%)
HOTEL	2559	5.1%
CAR_DEALER	2375	4.7%
OFFICE_BLDG	884	1.8%
FED_GOV	870	1.7%
SHOPPING_CENTER	824	1.6%
MUNI_GOV	686	1.4%
UTILITY	542	1.1%
SHOPPING_MALL	474	0.9%
COLLEGE_CAMPUS	473	0.9%
PAY_GARAGE	416	0.8%
Other values (50)	4712	9.4%
(Missing)	35474	70.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
hotel	2559	17.3%
car_dealer	2375	16.0%
office_bldg	884	6.0%
fed_gov	870	5.9%
shopping_center	824	5.6%
muni_gov	686	4.6%
utility	542	3.7%
shopping_mall	474	3.2%
college_campus	473	3.2%
pay_garage	416	2.8%
Other values (50)	4712	31.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

CNG Dispenser Num
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

CNG On-Site Renewable Source
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

CNG Total Compression Capacity
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

CNG Storage Capacity
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

LNG On-Site Renewable Source
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

E85 Other Ethanol Blends
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

EV Pricing
Categorical

HIGH CARDINALITY
MISSING

Distinct	564
Distinct (%)	3.8%
Missing	35416
Missing (%)	70.4%
Memory size	393.0 KiB

Free	9176
$0.28 per kWh; $0.26 per minute above 60 kW and $0.13 per minute at or below 60 kW	1155
FREE	1025
Level 2: $0.49 per kWh	798
Level 2: $0.59 per kWh	315
Other values (559)	2404

Length

Max length	126
Median length	4
Mean length	15.56921939
Min length	3

Characters and Unicode

Total characters	1
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	355 ?
Unique (%)	2.4%

Sample

1st row	Free
2nd row	Free
3rd row	Pay to Park
4th row	Free
5th row	Free

Common Values

Value	Count	Frequency (%)
Free	9176	18.2%
$0.28 per kWh; $0.26 per minute above 60 kW and $0.13 per minute at or below 60 kW	1155	2.3%
FREE	1025	2.0%
Level 2: $0.49 per kWh	798	1.6%
Level 2: $0.59 per kWh	315	0.6%
$2.00/Hr Parking Fee	209	0.4%
Level 2: $0.03 per 30 seconds	204	0.4%
$1.00/Hr Parking Fee	98	0.2%
$1 initiation fee + $0.32 per minute	88	0.2%
$1.50/Hr Parking Fee	67	0.1%
Other values (554)	1738	3.5%
(Missing)	35416	70.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
free	10307	21.3%
per	5827	12.0%
kwh	2660	5.5%
minute	2455	5.1%
kw	2312	4.8%
60	2311	4.8%
2	1620	3.3%
level	1577	3.3%
fee	1496	3.1%
or	1273	2.6%
Other values (478)	16648	34.3%

Most occurring characters

Value	Count	Frequency (%)
	1	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	1	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1	100.0%

EV Pricing (French)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

LPG Nozzle Types
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

Hydrogen Pressures
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

Hydrogen Standards
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

CNG Fill Type Code
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

CNG PSI
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

CNG Vehicle Class
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

LNG Vehicle Class
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

EV On-Site Renewable Source
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	1.7%
Missing	49937
Missing (%)	99.3%
Memory size	393.0 KiB

SOLAR	246
NONE	62
WIND	30
HYDRO	10
WASTEWATER	3

Length

Max length	10
Median length	5
Mean length	4.789772727
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	SOLAR
2nd row	SOLAR
3rd row	SOLAR
4th row	WIND
5th row	SOLAR

Common Values

Value	Count	Frequency (%)
SOLAR	246	0.5%
NONE	62	0.1%
WIND	30	0.1%
HYDRO	10	< 0.1%
WASTEWATER	3	< 0.1%
LANDFILL	1	< 0.1%
(Missing)	49937	99.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
solar	246	69.9%
none	62	17.6%
wind	30	8.5%
hydro	10	2.8%
wastewater	3	0.9%
landfill	1	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Restricted Access
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	50289
Missing (%)	100.0%
Memory size	393.0 KiB

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Fuel Type Code	Station Name	Street Address	Intersection Directions	City	State	ZIP	Plus4	Station Phone	Status Code	Expected Date	Groups With Access Code	Access Days Time	Cards Accepted	BD Blends	NG Fill Type Code	NG PSI	EV Level1 EVSE Num	EV Level2 EVSE Num	EV DC Fast Count	EV Other Info	EV Network	EV Network Web	Geocode Status	Latitude	Longitude	Date Last Confirmed	ID	Updated At	Owner Type Code	Federal Agency ID	Federal Agency Name	Open Date	Hydrogen Status Link	NG Vehicle Class	LPG Primary	E85 Blender Pump	EV Connector Types	Country	Intersection Directions (French)	Access Days Time (French)	BD Blends (French)	Groups With Access Code (French)	Hydrogen Is Retail	Access Code	Access Detail Code	Federal Agency Code	Facility Type	CNG Dispenser Num	CNG On-Site Renewable Source	CNG Total Compression Capacity	CNG Storage Capacity	LNG On-Site Renewable Source	E85 Other Ethanol Blends	EV Pricing	EV Pricing (French)	LPG Nozzle Types	Hydrogen Pressures	Hydrogen Standards	CNG Fill Type Code	CNG PSI	CNG Vehicle Class	LNG Vehicle Class	EV On-Site Renewable Source	Restricted Access
0	ELEC	LADWP - Truesdale Center	11797 Truesdale St	NaN	Sun Valley	CA	91352	NaN	NaN	E	NaN	Private	Fleet use only	NaN	NaN	NaN	NaN	NaN	39.0	3.0	NaN	Non-Networked	NaN	GPS	34.248319	-118.387971	2021-07-14	1517	2021-07-14 18:51:43 UTC	LG	NaN	NaN	1999-10-15	NaN	NaN	NaN	NaN	CHADEMO J1772 J1772COMBO	US	NaN	NaN	NaN	Privé	NaN	private	NaN	NaN	UTILITY	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	ELEC	LADWP - West LA District Office	1394 S Sepulveda Blvd	NaN	Los Angeles	CA	90024	NaN	NaN	E	NaN	Private	NaN	NaN	NaN	NaN	NaN	NaN	4.0	NaN	NaN	Non-Networked	NaN	200-8	34.052542	-118.448504	2021-07-14	1519	2021-07-14 18:51:43 UTC	LG	NaN	NaN	2020-02-28	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Privé	NaN	private	NaN	NaN	UTILITY	NaN	NaN	NaN	NaN	NaN	NaN	Free	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	ELEC	Los Angeles Convention Center	1201 S Figueroa St	West hall and South hall	Los Angeles	CA	90015	NaN	213-741-1151	E	NaN	Public	24 hours daily; pay lot	NaN	NaN	NaN	NaN	NaN	12.0	NaN	NaN	Non-Networked	NaN	GPS	34.040539	-118.271387	2020-11-09	1523	2021-03-11 23:22:17 UTC	P	NaN	NaN	1995-08-30	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	PARKING_GARAGE	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	ELEC	LADWP - John Ferraro Building	111 N Hope St	Across Hope	Los Angeles	CA	90012	NaN	NaN	E	NaN	Private	For fleet and employee use only	NaN	NaN	NaN	NaN	NaN	311.0	2.0	NaN	Non-Networked	NaN	GPS	34.059133	-118.248589	2021-07-14	1525	2021-07-14 18:51:43 UTC	LG	NaN	NaN	1999-10-15	NaN	NaN	NaN	NaN	CHADEMO J1772 J1772COMBO	US	NaN	NaN	NaN	Privé	NaN	private	NaN	NaN	UTILITY	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	ELEC	LADWP - Haynes Power Plant	6801 E 2nd St	NaN	Long Beach	CA	90803	NaN	NaN	E	NaN	Private	Fleet use only	NaN	NaN	NaN	NaN	NaN	19.0	1.0	NaN	Non-Networked	NaN	GPS	33.759802	-118.096665	2021-07-14	1531	2021-07-14 18:51:43 UTC	LG	NaN	NaN	2018-05-01	NaN	NaN	NaN	NaN	CHADEMO J1772 J1772COMBO	US	NaN	NaN	NaN	Privé	NaN	private	NaN	NaN	UTILITY	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	ELEC	State Capitol Parking Garage	1303 10th St	At 12th and N St	Sacramento	CA	95814	NaN	NaN	E	NaN	Private - Government only	Permitted state legislators only	Comdata	NaN	NaN	NaN	NaN	9.0	NaN	1 LP Inductive 1 SP Inductive 1 Avcon Conductive 1 Other Conductive	Non-Networked	NaN	200-8	38.576769	-121.495022	2021-12-09	1533	2021-12-09 15:02:43 UTC	SG	NaN	NaN	1996-10-15	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Privé - Réservé au gouvernement	NaN	private	GOVERNMENT	NaN	PARKING_GARAGE	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	ELEC	LADWP - Harbor Generating Station	161 N Island Ave	At B St	Wilmington	CA	90744	NaN	NaN	E	NaN	Private	Fleet use only	NaN	NaN	NaN	NaN	NaN	10.0	NaN	NaN	Non-Networked	NaN	200-8	33.770508	-118.265628	2021-07-14	1552	2021-07-14 18:51:43 UTC	LG	NaN	NaN	1999-10-15	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Privé	NaN	private	NaN	NaN	UTILITY	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	ELEC	LADWP - Sylmar West	13201 Sepulveda Blvd	NaN	Sylmar	CA	91342	NaN	NaN	E	NaN	Private - Government only	Fleet use only	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	Non-Networked	NaN	200-8	34.303090	-118.480505	2021-07-14	1556	2021-07-14 18:51:43 UTC	LG	NaN	NaN	2016-01-01	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Privé - Réservé au gouvernement	NaN	private	GOVERNMENT	NaN	UTILITY	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	ELEC	LADWP - EV Service Center	1630 N Main St	NaN	Los Angeles	CA	90012	NaN	NaN	E	NaN	Private	Fleet and employee use only	NaN	NaN	NaN	NaN	NaN	46.0	1.0	NaN	Non-Networked	NaN	200-8	34.066801	-118.227605	2021-07-14	1572	2021-07-14 18:51:43 UTC	LG	NaN	NaN	1999-10-15	NaN	NaN	NaN	NaN	CHADEMO J1772	US	NaN	NaN	NaN	Privé	NaN	private	NaN	NaN	UTILITY	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	ELEC	LADWP - Fairfax Center	2311 S Fairfax Ave	NaN	Los Angeles	CA	90016	NaN	NaN	E	NaN	Private	Fleet use only	NaN	NaN	NaN	NaN	NaN	13.0	NaN	NaN	Non-Networked	NaN	200-8	34.036777	-118.368841	2021-07-14	1573	2021-07-14 18:51:43 UTC	LG	NaN	NaN	2019-04-01	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Privé	NaN	private	NaN	NaN	UTILITY	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	Fuel Type Code	Station Name	Street Address	Intersection Directions	City	State	ZIP	Plus4	Station Phone	Status Code	Expected Date	Groups With Access Code	Access Days Time	Cards Accepted	BD Blends	NG Fill Type Code	NG PSI	EV Level1 EVSE Num	EV Level2 EVSE Num	EV DC Fast Count	EV Other Info	EV Network	EV Network Web	Geocode Status	Latitude	Longitude	Date Last Confirmed	ID	Updated At	Owner Type Code	Federal Agency ID	Federal Agency Name	Open Date	Hydrogen Status Link	NG Vehicle Class	LPG Primary	E85 Blender Pump	EV Connector Types	Country	Intersection Directions (French)	Access Days Time (French)	BD Blends (French)	Groups With Access Code (French)	Hydrogen Is Retail	Access Code	Access Detail Code	Federal Agency Code	Facility Type	CNG Dispenser Num	CNG On-Site Renewable Source	CNG Total Compression Capacity	CNG Storage Capacity	LNG On-Site Renewable Source	E85 Other Ethanol Blends	EV Pricing	EV Pricing (French)	LPG Nozzle Types	Hydrogen Pressures	Hydrogen Standards	CNG Fill Type Code	CNG PSI	CNG Vehicle Class	LNG Vehicle Class	EV On-Site Renewable Source	Restricted Access
50279	ELEC	AIR PRODUCTS STATION1	1940 Air Products Blvd	NaN	Wescosville	PA	18106	NaN	888-758-4389	E	NaN	Public	24 hours daily	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	ChargePoint Network	http://www.chargepoint.com/	GPS	40.559613	-75.578975	2022-01-14	204778	2022-01-14 00:29:34 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
50280	ELEC	MTA MARC GERMANTOWN	19421 Walter Johnson Rd	NaN	Germantown	MD	20874	NaN	888-758-4389	E	NaN	Public	24 hours daily	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	ChargePoint Network	http://www.chargepoint.com/	GPS	39.174382	-77.270315	2022-01-14	204779	2022-01-14 00:29:34 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
50281	ELEC	8 N PLAINS RURAL ACTION	8 N Plains Rd	NaN	The Plains	OH	45780	NaN	888-758-4389	E	NaN	Public	Mon 7:00am - 7:00pm; Tue 7:00am - 7:00pm; Wed 7:00am - 7:00pm; Thu 7:00am - 7:00pm; Fri 7:00am - 7:00pm; Sat 7:00am - 7:00pm; Sun 7:00am - 7:00pm	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	ChargePoint Network	http://www.chargepoint.com/	GPS	39.369901	-82.132842	2022-01-14	204780	2022-01-14 00:29:34 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
50282	ELEC	MIDSOUTH CHARGE EMPLOYEE PARK 3	9339 N Hwy 6 Loop	NaN	Navasota	TX	77868	NaN	888-758-4389	E	NaN	Public	24 hours daily	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	ChargePoint Network	http://www.chargepoint.com/	GPS	30.389411	-96.068044	2022-01-14	204781	2022-01-14 00:29:34 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
50283	ELEC	MIDSOUTH CHARGE EMPLOYEE PARK 4	9339 N Hwy 6 Loop	NaN	Navasota	TX	77868	NaN	888-758-4389	E	NaN	Public	24 hours daily	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	ChargePoint Network	http://www.chargepoint.com/	GPS	30.389559	-96.068119	2022-01-14	204782	2022-01-14 00:29:34 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
50284	ELEC	VIP LOT STATION1	1501 Kirkwood Meadows Dr	NaN	Markleeville	CA	96120	NaN	888-758-4389	E	NaN	Public	24 hours daily	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	ChargePoint Network	http://www.chargepoint.com/	GPS	38.684660	-120.065169	2022-01-14	204783	2022-01-14 00:29:34 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	J1772	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
50285	ELEC	Prunedale Shopping Center	8065 San Miguel Canyon Rd	NaN	Salinas	CA	93907	NaN	877-455-3833	E	NaN	Public	24 hours daily	NaN	NaN	NaN	NaN	NaN	NaN	6.0	NaN	eVgo Network	https://www.evgo.com/	GPS	36.801716	-121.664153	2022-01-14	204784	2022-01-14 01:17:49 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	CHADEMO J1772COMBO	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
50286	ELEC	Beaverton Electric Avenue	11665 SW Beaverton Hillsdale Hwy	NaN	Beaverton	OR	97005	NaN	855-900-7584	E	NaN	Public	24 hours daily	NaN	NaN	NaN	NaN	NaN	NaN	2.0	NaN	Greenlots	http://greenlots.com/	GPS	45.489030	-122.798151	2022-01-14	204785	2022-01-14 01:20:00 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	CHADEMO J1772COMBO	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
50287	ELEC	Shell - Inman	2040 Highway 292	NaN	Inman	SC	29349	NaN	855-900-7584	E	NaN	Public	24 hours daily	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	Greenlots	http://greenlots.com/	GPS	35.082476	-82.058433	2022-01-14	204786	2022-01-14 01:20:00 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	CHADEMO J1772COMBO	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
50288	ELEC	Westfield Trumbull (Trumbull, CT)	5065 Main Street	NaN	Trumbull	CT	06611	NaN	833-632-2778	E	NaN	Public	24 hours daily	NaN	NaN	NaN	NaN	NaN	NaN	4.0	NaN	Electrify America	https://www.electrifyamerica.com/	GPS	41.228951	-73.223944	2022-01-14	204787	2022-01-14 01:22:29 UTC	NaN	NaN	NaN	2022-01-14	NaN	NaN	NaN	NaN	CHADEMO J1772COMBO	US	NaN	NaN	NaN	Public	NaN	public	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Control

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Control

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks